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Difference between DBMS AND RDBMS
DBMS RDBMS
DBMS stores data as file. RDBMS stores data in tabular form.
Data elements need to access
individually.
Multiple data elements can be
accessed at the same time.
No relationship between data. Data is stored in the form of tables
which are related to each other.
Normalization is not present. Normalization is present.
DBMS does not support distributed
database.
RDBMS supports distributed
database.
It stores data in either a navigational
or hierarchical form.
It uses a tabular structure where the
headers are the column names, and
the rows contain corresponding
values.
It deals with small quantity of data. It deals with large amount of data.
It supports single user. It supports multiple users.
Data redundancy is common in this
model.
Keys and indexes do not allow Data
redundancy.
Data fetching is slower for the large
amount of data.
Data fetching is fast because of
relational approach.
The data in a DBMS is subject to low
security levels with regards to data
manipulation.
There exists multiple levels of data
security in a RDBMS.
Low software and hardware
necessities.
Higher software and hardware
necessities.
Examples: XML, Microsoft Access,
etc.
Examples: MySQL, PostgreSQL,
SQL Server, Oracle, etc.
Thank You !
Name: Dheenadayalan.B

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DBMS vs RDBMS

  • 1. Difference between DBMS AND RDBMS DBMS RDBMS DBMS stores data as file. RDBMS stores data in tabular form. Data elements need to access individually. Multiple data elements can be accessed at the same time. No relationship between data. Data is stored in the form of tables which are related to each other. Normalization is not present. Normalization is present. DBMS does not support distributed database. RDBMS supports distributed database.
  • 2. It stores data in either a navigational or hierarchical form. It uses a tabular structure where the headers are the column names, and the rows contain corresponding values. It deals with small quantity of data. It deals with large amount of data. It supports single user. It supports multiple users. Data redundancy is common in this model. Keys and indexes do not allow Data redundancy. Data fetching is slower for the large amount of data. Data fetching is fast because of relational approach.
  • 3. The data in a DBMS is subject to low security levels with regards to data manipulation. There exists multiple levels of data security in a RDBMS. Low software and hardware necessities. Higher software and hardware necessities. Examples: XML, Microsoft Access, etc. Examples: MySQL, PostgreSQL, SQL Server, Oracle, etc. Thank You ! Name: Dheenadayalan.B